SlideShare a Scribd company logo
1 of 36
Download to read offline
1
EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS
Revision H
By Tom Irvine
Email: tom@vibrationdata.com
March 28, 2013
_______________________________________________________________________
Introduction
The effective modal mass provides a method for judging the “significance” of a vibration
mode.
Modes with relatively high effective masses can be readily excited by base excitation.
On the other hand, modes with low effective masses cannot be readily excited in this
manner.
Consider a modal transient or frequency response function analysis via the finite element
method. Also consider that the system is a multi-degree-of-freedom system. For brevity,
only a limited number of modes should be included in the analysis.
How many modes should be included in the analysis? Perhaps the number should be
enough so that the total effective modal mass of the model is at least 90% of the actual
mass.
Definitions
The equation definitions in this section are taken from Reference 1.
Consider a discrete dynamic system governed by the following equation
FxKxM  (1)
where
M is the mass matrix
K is the stiffness matrix
x is the acceleration vector
x is the displacement vector
F is the forcing function or base excitation function
2
A solution to the homogeneous form of equation (1) can be found in terms of eigenvalues
and eigenvectors. The eigenvectors represent vibration modes.
Let  be the eigenvector matrix.
The system’s generalized mass matrix mˆ is given by
 MTmˆ (2)
Let r be the influence vector which represents the displacements of the masses resulting
from static application of a unit ground displacement. The influence vector induces a
rigid body motion in all modes.
Define a coefficient vector L as
rMTL  (3)
The modal participation factor matrix i for mode i is
iimˆ
iL
i  (4)
The effective modal mass i,effm for mode i is
ii
2
i
i,eff
mˆ
L
m  (5)
Note that iimˆ = 1 for each index if the eigenvectors have been normalized with respect
to the mass matrix.
Furthermore, the off-diagonal modal mass ( ji,mˆ ji  ) terms are zero regardless of the
normalization and even if the physical mass matrix M has distributed mass. This is due to
the orthogonality of the eigenvectors. The off-diagonal modal mass terms do not appear
in equation (5), however. An example for a system with distributed mass is shown in
Appendix F.
3
Example
Consider the two-degree-of-freedom system shown in Figure 1, with the parameters
shown in Table 1.
Figure 1.
The homogeneous equation of motion is
































0
0
2x
1x
3k2k3k
3k3k1k
2x
1x
2m0
01m


(6)
The mass matrix is
kg
10
02
M 





 (7)
Table 1. Parameters
Variable Value
1m 2.0 kg
2m 1.0 kg
1k 1000 N/m
2k 2000 N/m
3k 3000 N/m
m1
k1
m2
k2
k3
x1
x2
y
4
The stiffness matrix is
m/N
50003000
30004000
K 







 (8)
The eigenvalues and eigenvectors can be found using the method in Reference 2.
The eigenvalues are the roots of the following equation.
0M2Kdet 



  (9)
The eigenvalues are
 2sec/rad9.9012
1  (10)
sec/rad03.301  (11)
Hz78.41f  (12)
 2sec/rad60982
2  (13)
sec/rad09.782  (14)
Hz4.122f  (15)
The eigenvector matrix is





 

8881.04597.0
3251.06280.0
(16)
5
The eigenvectors were previously normalized so that the generalized mass is the identity
matrix.
 MTmˆ (17)





 














8881.04597.0
3251.06280.0
10
02
8881.03251.0
4597.06280.0
mˆ (18)





 








8881.04597.0
6502.02560.1
8881.03251.0
4597.06280.0
mˆ (19)







10
01
mˆ (20)
Again, r is the influence vector which represents the displacements of the masses
resulting from static application of a unit ground displacement. For this example, each
mass simply has the same static displacement as the ground displacement.







1
1
r (21)
The coefficient vector L is
rMTL  (22)




















1
1
10
02
8881.03251.0
4597.06280.0
L (23)
6














1
2
8881.03251.0
4597.06280.0
L (24)
kg
2379.0
7157.1
L 






 (25)
The modal participation factor i for mode i is
iimˆ
iL
i  (26)
The modal participation vector is thus








2379.0
7157.1
(27)
The coefficient vector L and the modal participation vector  are identical in this
example because the generalized mass matrix is the identity matrix.
The effective modal mass i,effm for mode i is
iimˆ
2
iL
i,effm  (28)
For mode 1,
 
kg1
2kg7157.1
1,effm  (29)
kg944.21,effm  (30)
7
For mode 2,
 
kg1
2kg2379.0
2,effm

 (31)
kg056.02,effm  (32)
Note that
kg056.0kg944.22,effm1,effm  (33)
kg32,effm1,effm  (34)
Thus, the sum of the effective masses equals the total system mass.
Also, note that the first mode has a much higher effective mass than the second mode.
Thus, the first mode can be readily excited by base excitation. On the other hand, the
second mode is negligible in this sense.
From another viewpoint, the center of gravity of the first mode experiences a significant
translation when the first mode is excited.
On the other hand, the center of gravity of the second mode remains nearly stationary
when the second mode is excited.
Each degree-of-freedom in the previous example was a translation in the X-axis. This
characteristic simplified the effective modal mass calculation.
In general, a system will have at least one translation degree-of-freedom in each of three
orthogonal axes. Likewise, it will have at least one rotational degree-of-freedom about
each of three orthogonal axes. The effective modal mass calculation for a general system
is shown by the example in Appendix A. The example is from a real-world problem.
8
Aside
An alternate definition of the participation factor is given in Appendix B.
References
1. M. Papadrakakis, N. Lagaros, V. Plevris; Optimum Design of Structures under
Seismic Loading, European Congress on Computational Methods in Applied
Sciences and Engineering, Barcelona, 2000.
2. T. Irvine, The Generalized Coordinate Method For Discrete Systems,
Vibrationdata, 2000.
3. W. Thomson, Theory of Vibration with Applications 2nd Edition, Prentice Hall,
New Jersey, 1981.
4. T. Irvine, Bending Frequencies of Beams, Rods, and Pipes, Rev M, Vibrationdata,
2010.
5. T. Irvine, Rod Response to Longitudinal Base Excitation, Steady-State and
Transient, Rev B, Vibrationdata, 2009.
6. T. Irvine, Longitudinal Vibration of a Rod via the Finite Element Method, Revision B,
Vibrationdata, 2008.
9
APPENDIX A
Equation of Motion, Isolated Avionics Component
Figure A-1. Isolated Avionics Component Model
The mass and inertia are represented at a point with the circle symbol. Each isolator is
modeled by three orthogonal DOF springs. The springs are mounted at each corner. The
springs are shown with an offset from the corners for clarity. The triangles indicate fixed
constraints. “0” indicates the origin.
ky4kx4
kz4
ky2
kx2
ky3kx3
ky1
kx1
kz1
kz3
kz2
m, J
0
x
z
y
10
Figure A-2. Isolated Avionics Component Model with Dimensions
All dimensions are positive as long as the C.G. is “inside the box.” At least one
dimension will be negative otherwise.
x
z
y
0b
c1
c2
a1 a2
C. G.
11
The mass and stiffness matrices are shown in upper triangular form due to symmetry.
(A-1)
K =
 
   
 
    
 




























 




 




 



2
2a2
1ayk22bxk4
b2c1cxk22
2a2
1azk22
2cxk4
2c1c2a1aykb2a1azk22
2c2
1cyk22bzk4
02a1azk2bzk4zk4
2a1ayk202c1cyk20yk4
bxk42c1cxk2000xk4
(A-2)





















zJ
0yJ
00xJ
000m
0000m
00000m
M
12
The equation of motion is




































































0
0
0
0
0
0
z
y
x
K
z
y
x
M






(A-3)
The variables , β and  represent rotations about the X, Y, and Z axes, respectively.
Example
A mass is mounted to a surface with four isolators. The system has the following properties.
M = 4.28 lbm
Jx = 44.9 lbm in^2
Jy = 39.9 lbm in^2
Jz = 18.8 lbm in^2
kx = 80 lbf/in
ky = 80 lbf/in
kz = 80 lbf/in
a1 = 6.18 in
a2 = -2.68 in
b = 3.85 in
c1 = 3. in
c2 = 3. in
13
Let r be the influence matrix which represents the displacements of the masses resulting from
static application of unit ground displacements and rotations. The influence matrix for this
example is the identity matrix provided that the C.G is the reference point.





















100000
010000
001000
000100
000010
000001
r
(A-4)
The coefficient matrix L is
rMTL  (A-5)
The modal participation factor matrix i for mode i at dof j is
ii
ji
ji
mˆ
L
 (A-6)
Each iimˆ coefficient is 1 if the eigenvectors have been normalized with respect to the mass
matrix.
The effective modal mass i,effm vector for mode i and dof j is
 
iimˆ
2
jiL
ji,effm  (A-7)
The natural frequency results for the sample problem are calculated using the program:
six_dof_iso.m.
The results are given in the next pages.
14
six_dof_iso.m ver 1.2 March 31, 2005
by Tom Irvine Email: tomirvine@aol.com
This program finds the eigenvalues and eigenvectors for a
six-degree-of-freedom system.
Refer to six_dof_isolated.pdf for a diagram.
The equation of motion is: M (d^2x/dt^2) + K x = 0
Enter m (lbm)
4.28
Enter Jx (lbm in^2)
44.9
Enter Jy (lbm in^2)
39.9
Enter Jz (lbm in^2)
18.8
Note that the stiffness values are for individual springs
Enter kx (lbf/in)
80
Enter ky (lbf/in)
80
Enter kz (lbf/in)
80
Enter a1 (in)
6.18
Enter a2 (in)
-2.68
Enter b (in)
3.85
Enter c1 (in)
3
15
Enter c2 (in)
3
The mass matrix is
m =
0.0111 0 0 0 0 0
0 0.0111 0 0 0 0
0 0 0.0111 0 0 0
0 0 0 0.1163 0 0
0 0 0 0 0.1034 0
0 0 0 0 0 0.0487
The stiffness matrix is
k =
1.0e+004 *
0.0320 0 0 0 0 0.1232
0 0.0320 0 0 0 -0.1418
0 0 0.0320 -0.1232 0.1418 0
0 0 -0.1232 0.7623 -0.5458 0
0 0 0.1418 -0.5458 1.0140 0
0.1232 -0.1418 0 0 0 1.2003
Eigenvalues
lambda =
1.0e+005 *
0.0213 0.0570 0.2886 0.2980 1.5699 2.7318
16
Natural Frequencies =
1. 7.338 Hz
2. 12.02 Hz
3. 27.04 Hz
4. 27.47 Hz
5. 63.06 Hz
6. 83.19 Hz
Modes Shapes (rows represent modes)
x y z alpha beta theta
1. 5.91 -6.81 0 0 0 -1.42
2. 0 0 8.69 0.954 -0.744 0
3. 7.17 6.23 0 0 0 0
4. 0 0 1.04 -2.26 -1.95 0
5. 0 0 -3.69 1.61 -2.3 0
6. 1.96 -2.25 0 0 0 4.3
Participation Factors (rows represent modes)
x y z alpha beta theta
1. 0.0656 -0.0755 0 0 0 -0.0693
2. 0 0 0.0963 0.111 -0.0769 0
3. 0.0795 0.0691 0 0 0 0
4. 0 0 0.0115 -0.263 -0.202 0
5. 0 0 -0.0409 0.187 -0.238 0
6. 0.0217 -0.025 0 0 0 0.21
Effective Modal Mass (rows represent modes)
x y z alpha beta theta
1. 0.0043 0.00569 0 0 0 0.0048
2. 0 0 0.00928 0.0123 0.00592 0
3. 0.00632 0.00477 0 0 0 0
4. 0 0 0.000133 0.069 0.0408 0
5. 0 0 0.00168 0.035 0.0566 0
6. 0.000471 0.000623 0 0 0 0.0439
Total Modal Mass
0.0111 0.0111 0.0111 0.116 0.103 0.0487
17
APPENDIX B
Modal Participation Factor for Applied Force
The following definition is taken from Reference 3. Note that the mode shape functions are
unscaled. Hence, the participation factor is unscaled.
Consider a beam of length L loaded by a distributed force p(x,t).
Consider that the loading per unit length is separable in the form
)t(f)x(p
L
oP
)t,x(p  (B-1)
The modal participation factor i for mode i is defined as
 
L
0
dx)x(i)x(p
L
1
i (B-2)
where
)x(i is the normal mode shape for mode i
18
APPENDIX C
Modal Participation Factor for a Beam
Let
)x(nY = mass-normalized eigenvectors
m(x) = mass per length
The participation factor is

L
0
dx)x(nY)x(mn (C-1)
The effective modal mass is
 
 






L
0
dx2)x(nY)x(m
2
L
0
dx)x(nY)x(m
n,effm (C-2)
The eigenvectors should be normalized such that
  1
L
0
dx2)x(nY)x(m  (C-3)
Thus,
 
2
L
0
dx)x(nY)x(m2
nn,effm 





  (C-4)
19
APPENDIX D
Effective Modal Mass Values for Bernoulli-Euler Beams
The results are calculated using formulas from Reference 4. The variables are
E = is the modulus of elasticity
I = is the area moment of inertia
L = is the length
 = is (mass/length)
Table D-1. Bending Vibration, Beam Simply-Supported at Both Ends
Mode
Natural
Frequency n
Participation
Factor Effective Modal Mass
1

 EI
L2
2
L2
2


L
2
8


2

 EI
L
4
2
2
0 0
3

 EI
L
9
2
2
L2
3
2


L
29
8


4

 EI
L
16
2
2
0 0
5

 EI
L
25
2
2
L2
5
2


L
225
8


6

 EI
L
36
2
2
0 0
7

 EI
L
49
2
2
L2
7
2


L
249
8


95% of the total mass is accounted for using the first seven modes.
20
Table D-2. Bending Vibration, Fixed-Free Beam
Mode
Natural
Frequency n
Participation
Factor
Effective Modal
Mass
1





 EI
L
87510.1
2
7830.0 L 6131.0 L
2





 EI
L
69409.4
2
4339.0 L 0.1883 L
3





  EI
L2
5
2
2544.0 L 0.06474 L
4





  EI
L2
7
2
1818.0 L 0.03306 L
90% of the total mass is accounted for using the first four modes.
21
APPENDIX E
Rod, Longitudinal Vibration, Classical Solution
The results are taken from Reference 5.
Table E-1. Longitudinal Vibration of a Rod, Fixed-Free
Mode Natural Frequency n
Participation
Factor
Effective Modal
Mass
1 0.5  c / L L2
2


L
8
2


2 1.5  c / L L2
3
2


L
9
8
2


3 2.5  c / L L2
5
2


L
25
8
2


The longitudinal wave speed c is


E
c (E-1)
93% of the total mass is accounted for by using the first three modes.
22
APPENDIX F
This example shows a system with distributed or consistent mass matrix.
Rod, Longitudinal Vibration, Finite Element Method
Consider an aluminum rod with 1 inch diameter and 48 inch length. The rod has fixed-free
boundary conditions.
A finite element model of the rod is shown in Figure F-1. It consists of four elements and five
nodes. Each element has an equal length.
Figure F-1.
The boundary conditions are
U(0) = 0 (Fixed end) (F-1)
0
Lxdx
dU


(Free end) (F-2)
The natural frequencies and modes are determined using the finite element method in
Reference 6.
N1 N2 N3
E1 E2
N4
E3
N5
E4
23
The resulting eigenvalue problem for the constrained system has the following mass and
stiffness matrices as calculated via Matlab script: rod_FEA.m.
Mass =
0.0016 0.0004 0 0
0.0004 0.0016 0.0004 0
0 0.0004 0.0016 0.0004
0 0 0.0004 0.0008
Stiffness =
1.0e+006 *
1.3090 -0.6545 0 0
-0.6545 1.3090 -0.6545 0
0 -0.6545 1.3090 -0.6545
0 0 -0.6545 0.6545
The natural frequencies are
n fn(Hz)
1 1029.9
2 3248.8
3 5901.6
4 8534.3
The mass-normalized eigenvectors in column format are
5.5471 14.8349 18.0062 -9.1435
10.2496 11.3542 -13.7813 16.8950
13.3918 -6.1448 -7.4584 -22.0744
14.4952 -16.0572 19.4897 23.8931
24
Let r be the influence vector which represents the displacements of the masses resulting from
static application of a unit ground displacement.
The influence vector for the sample problem is
r =
1
1
1
1
The coefficient vector L is
rMTL  (F-3)
where
T = transposed eigenvector matrix
M = mass matrix
The coefficient vector for the sample problem is
L =
0.0867
0.0233
0.0086
-0.0021
The modal participation factor matrix i for mode i is
ii
i
i
mˆ
L
 (F-4)
Note that iimˆ = 1 for each index since the eigenvectors have been previously normalized
with respect to the mass matrix.
25
Thus, for the sample problem,
ii L (F-5)
The effective modal mass i,effm for mode i is
ii
2
i
i,eff
mˆ
L
m  (F-6)
Again, the eigenvectors are mass normalized.
Thus
2
ii,eff Lm  (F-7)
The effective modal mass for the sample problem is
effm =
0.0075
0.0005
0.0001
0.0000
The model’s total modal mass is 0.0081 lbf sec^2/in. This is equivalent to 3.14 lbm.
The true mass or the rod is 3.77 lbm.
Thus, the four-element model accounts for 83% of the true mass. This percentage can be
increased by using a larger number of elements with corresponding shorter lengths.
26
APPENDIX G
Two-degree-of-freedom System, Static Coupling
Figure G-1.
Figure G-2.
The free-body diagram is given in Figure G-2.
k 1 k 2
L1
y
L2
x

k 1 ( y - x - L1 )
)
k 2 ( y - x + L2 )
)
27
The system has a CG offset if 21 LL  .
The system is statically coupled if 2211 LkLk  .
The rotation is positive in the clockwise direction.
The variables are
y is the base displacement
x is the translation of the CG
 is the rotation about the CG
m is the mass
J is the polar mass moment of inertia
k i is the stiffness for spring i
z i is the relative displacement for spring i
28
Sign Convention:
Translation: upward in vertical axis is positive.
Rotation: clockwise is positive.
Sum the forces in the vertical direction
  xmF  (G-1)
)Lxy(k)Lxy(kxm 2211  (G-2)
0)Lxy(k)Lxy(kxm 2211  (G-3)
0LkxkykLkxkykxm 22221111  (G-4)
  y)kk()LkLk(xkkxm 21221121  (G-5)
Sum the moments about the center of mass.
  JM (G-6)
)Lxy(Lk)Lxy(LkJ 222111  (G-7)
0)Lxy(Lk)Lxy(LkJ 222111  (G-8)
0LkxLkyLkLkxLkykJ 2
222222
2
11111  (G-9)
     yLkLkLkLkxLkLkJ 2211
2
22
2
112211  (G-10)
The equations of motion are
y
LkLk
kkx
LkLkLkLk
LkLkkkx
J0
0m
2211
21
2
22
2
112211
221121





































(G-11)
29
The pseudo-static problem is
y
LkLk
kkx
LkLkLkLk
LkLkkk
2211
21
2
22
2
112211
221121























(G-12)
Solve for the influence vector r by applying a unit displacement.






















2211
21
2
1
2
22
2
112211
221121
LkLk
kk
r
r
LkLkLkLk
LkLkkk
(G-13)












0
1
r
r
2
1
(G-14)
Define a relative displacement z.
z = x – y (G-15)
x = z + y (G-16)
 y
LkLk
kk
0
y
LkLkLkLk
LkLkkkz
LkLkLkLk
LkLkkk
0
ymz
J0
0m
2211
21
2
22
2
112211
221121
2
22
2
112211
221121
























































 


(G-17)

































0
ymz
LkLkLkLk
LkLkkkz
J0
0m
2
22
2
112211
221121 


30
(G-18)
The equation is more formally
y
r
r
J0
0mz
LkLkLkLk
LkLkkkz
J0
0m
2
1
2
22
2
112211
221121










































(G-19)
Solve for the eigenvalues and mass-normalized eigenvectors matrix  using the
homogeneous problem form of equation (G-9).
Define modal coordinates
  













 2
1z
(G-20)
    y
r
r
J0
0m
LkLkLkLk
LkLkkk
J0
0m
2
1
2
1
2
22
2
112211
221121
2
1 












































(G-21)
Then premultiply by the transpose of the eigenvector matrix T .
       
  y
r
r
J0
0m
LkLkLkLk
LkLkkk
J0
0m
2
1T
2
1
2
22
2
112211
221121T
2
1T















































(G-22)
31
  y
r
r
J0
0m
0
0
10
01
2
1T
2
1
2
2
2
1
2
1 














































(G-23)
The participation factor vector is













2
1T
r
r
J0
0m
(G-24)



















0
m
0
1
J0
0m TT (G-25)
Example
Consider the system in Figure G-1. Assign the following values. The values are based on a
slender rod, aluminum, diameter =1 inch, total length=24 inch.
Table G-1. Parameters
Variable Value
m 18.9 lbm
J 907 lbm in^2
1k 20,000 lbf/in
2k 20,000 lbf/in
1L 8 in
2L 16 in
The following parameters were calculated for the sample system via a Matlab script.
The mass matrix is
32
m =
0.0490 0
0 2.3497
The stiffness matrix is
k =
40000 160000
160000 6400000
Natural Frequencies =
133.8 Hz
267.9 Hz
Modes Shapes (column format) =
-4.4 1.029
0.1486 0.6352
Participation Factors =
0.2156
0.0504
Effective Modal Mass
0.0465
0.0025
The total modal mass is 0.0490 lbf sec^2/in, equivalent to18.9 lbm.
33
APPENDIX H
Two-degree-of-freedom System, Static & Dynamic Coupling
Repeat the example in Appendix G, but use the left end as the coordinate reference point.
Figure H-1.
Figure H-2.
The free-body diagram is given in Figure H-2. Again, the displacement and rotation are
referenced to the left end.
k 1 k 2
L1
y
L2
L
x1

k 1 ( y - x1 ) k 2 ( y – x1 + L)
x
34
Sign Convention:
Translation: upward in vertical axis is positive.
Rotation: clockwise is positive.
Sum the forces in the vertical direction
  xmF  (H-1)
)Lxy(k)xy(kxm 1211  (H-2)
0)Lxy(k)xy(kxm 1211  (H-3)
0Lkxkykxkykxm 2122111  (H-4)
  y)kk(Lkxkkxm 212121  (H-
5)
 11 Lxx (H-6)
    y)kk(LkxkkLxm 21212111   (H-7)
  y)kk(LkxkkLmxm 21212111   (H-8)
Sum the moments about the left end.
  
11 JM (H-9)
 11121 x-xmL)L+x-y(LkJ   (H-10)
  0)L+x-y(Lkx-xmLJ 12111   (H-11)
  0LkLxk-Lykx-xmLJ 2
2122111   (H-12)
  LykLkLxk-x-xmLJ 2
2
212111   (H-13)
35
 11 Lxx (H-14)
  LykLkLxk-x-LxmLJ 2
2
21211111   (H-15)
LykLkLxk-xmLJ 2
2
212111   (H-16)
The equations of motion are
y
Lk
kkx
LkLk
Lkkkx
JmL
mLm
2
211
2
22
2211
11
1







































(H-17)
Note that
2
11 mLJJ  (H-18)
y
Lk
kkx
LkLk
Lkkkx
mLJmL
mLm
2
211
2
22
2211
2
11
1









































(H-
19)
The pseudo-static problem is
y
Lk
kkx
LkLk
Lkkk
2
211
2
22
221























(H-20)
Solve for the influence vector r by applying a unit displacement.






















Lk
kk
r
r
LkLk
Lkkk
2
21
2
1
2
22
221
(H-21)
36












0
1
r
r
2
1
(H-22)
The influence coefficient vector is the same as that in Appendix G.
The natural frequencies are obtained via a Matlab script. The results are:
Natural Frequencies
No. f(Hz)
1. 133.79
2. 267.93
Modes Shapes (column format)
ModeShapes =
5.5889 4.0527
0.1486 0.6352
Participation Factors =
0.2155
-0.05039
Effective Modal Mass =
0.04642
0.002539
The total modal mass is 0.0490 lbf sec^2/in, equivalent to18.9 lbm.

More Related Content

What's hot

Finite Element analysis -Plate ,shell skew plate
Finite Element analysis -Plate ,shell skew plate Finite Element analysis -Plate ,shell skew plate
Finite Element analysis -Plate ,shell skew plate S.DHARANI KUMAR
 
Lec5-Torsion of thin walled beams
Lec5-Torsion of thin walled beamsLec5-Torsion of thin walled beams
Lec5-Torsion of thin walled beamsMahdi Damghani
 
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...Mintu Choudhury
 
Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...
Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...
Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...Hossam Shafiq II
 
22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...
22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...
22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...Hossam Shafiq II
 
COMPARISON BETWEEN CODES
COMPARISON BETWEEN CODESCOMPARISON BETWEEN CODES
COMPARISON BETWEEN CODESBahzad5
 
Direct analysis method - Sap2000
Direct analysis method - Sap2000Direct analysis method - Sap2000
Direct analysis method - Sap2000Hassan Yamout
 
Comparative Study of floating column of multi storey building by using software
Comparative Study of floating column of multi storey building by using softwareComparative Study of floating column of multi storey building by using software
Comparative Study of floating column of multi storey building by using softwareIJERA Editor
 
Tower design using etabs- Nada Zarrak
Tower design using etabs- Nada Zarrak Tower design using etabs- Nada Zarrak
Tower design using etabs- Nada Zarrak Nada Zarrak
 
Lec5 torsion of thin walled beams
Lec5 torsion of thin walled beamsLec5 torsion of thin walled beams
Lec5 torsion of thin walled beamsMahdi Damghani
 
Membrane - Plate - Shell
Membrane - Plate - ShellMembrane - Plate - Shell
Membrane - Plate - Shellneikrof
 
Structural dynamics good notes
Structural dynamics good notesStructural dynamics good notes
Structural dynamics good notessantosh161832
 

What's hot (20)

Deep beams
Deep beamsDeep beams
Deep beams
 
3 torsion
3 torsion3 torsion
3 torsion
 
Finite Element analysis -Plate ,shell skew plate
Finite Element analysis -Plate ,shell skew plate Finite Element analysis -Plate ,shell skew plate
Finite Element analysis -Plate ,shell skew plate
 
Lec5-Torsion of thin walled beams
Lec5-Torsion of thin walled beamsLec5-Torsion of thin walled beams
Lec5-Torsion of thin walled beams
 
Design notes for seismic design of building accordance to Eurocode 8
Design notes for seismic design of building accordance to Eurocode 8 Design notes for seismic design of building accordance to Eurocode 8
Design notes for seismic design of building accordance to Eurocode 8
 
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...
MODAL AND RESPONSE SPECTRUM (IS 18932002) ANALYSIS 0F R.C FRAME BUILDING (IT ...
 
Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...
Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...
Lec04 Analysis of Rectangular RC Beams (Reinforced Concrete Design I & Prof. ...
 
6. safe users-guide
6.  safe users-guide6.  safe users-guide
6. safe users-guide
 
Etabs (atkins)
Etabs (atkins)Etabs (atkins)
Etabs (atkins)
 
Elastic beams
Elastic beams Elastic beams
Elastic beams
 
22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...
22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...
22-Design of Four Bolt Extended Endplate Connection (Steel Structural Design ...
 
COMPARISON BETWEEN CODES
COMPARISON BETWEEN CODESCOMPARISON BETWEEN CODES
COMPARISON BETWEEN CODES
 
Direct analysis method - Sap2000
Direct analysis method - Sap2000Direct analysis method - Sap2000
Direct analysis method - Sap2000
 
TORSION (MECHANICS OF SOLIDS)
TORSION (MECHANICS OF SOLIDS)TORSION (MECHANICS OF SOLIDS)
TORSION (MECHANICS OF SOLIDS)
 
Comparative Study of floating column of multi storey building by using software
Comparative Study of floating column of multi storey building by using softwareComparative Study of floating column of multi storey building by using software
Comparative Study of floating column of multi storey building by using software
 
Tower design using etabs- Nada Zarrak
Tower design using etabs- Nada Zarrak Tower design using etabs- Nada Zarrak
Tower design using etabs- Nada Zarrak
 
shear centre
shear centreshear centre
shear centre
 
Lec5 torsion of thin walled beams
Lec5 torsion of thin walled beamsLec5 torsion of thin walled beams
Lec5 torsion of thin walled beams
 
Membrane - Plate - Shell
Membrane - Plate - ShellMembrane - Plate - Shell
Membrane - Plate - Shell
 
Structural dynamics good notes
Structural dynamics good notesStructural dynamics good notes
Structural dynamics good notes
 

Viewers also liked

Modal Analysis
Modal AnalysisModal Analysis
Modal Analysisvaibhavd85
 
Computational Analysis Of A Thin Plate
Computational Analysis Of A Thin PlateComputational Analysis Of A Thin Plate
Computational Analysis Of A Thin PlateDavid Parker
 
93321970 ansys-modal-analysis
93321970 ansys-modal-analysis93321970 ansys-modal-analysis
93321970 ansys-modal-analysisSamuel Ogbodo
 
How to Be Awesome on Slideshare
How to Be Awesome on SlideshareHow to Be Awesome on Slideshare
How to Be Awesome on Slideshare24Slides
 
The Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color ThemeThe Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color Theme24Slides
 
The Business of Social Media
The Business of Social Media The Business of Social Media
The Business of Social Media Dave Kerpen
 
The hottest analysis tools for startups
The hottest analysis tools for startupsThe hottest analysis tools for startups
The hottest analysis tools for startupsLiane Siebenhaar
 
10 Steps of Project Management in Digital Agencies
10 Steps of Project Management in Digital Agencies 10 Steps of Project Management in Digital Agencies
10 Steps of Project Management in Digital Agencies Alemsah Ozturk
 
Lost in Cultural Translation
Lost in Cultural TranslationLost in Cultural Translation
Lost in Cultural TranslationVanessa Vela
 
All About Beer
All About Beer All About Beer
All About Beer Ethos3
 
How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)
How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)
How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)Board of Innovation
 
The Seven Deadly Social Media Sins
The Seven Deadly Social Media SinsThe Seven Deadly Social Media Sins
The Seven Deadly Social Media SinsXPLAIN
 
Five Killer Ways to Design The Same Slide
Five Killer Ways to Design The Same SlideFive Killer Ways to Design The Same Slide
Five Killer Ways to Design The Same SlideCrispy Presentations
 
How People Really Hold and Touch (their Phones)
How People Really Hold and Touch (their Phones)How People Really Hold and Touch (their Phones)
How People Really Hold and Touch (their Phones)Steven Hoober
 
Upworthy: 10 Ways To Win The Internets
Upworthy: 10 Ways To Win The InternetsUpworthy: 10 Ways To Win The Internets
Upworthy: 10 Ways To Win The InternetsUpworthy
 
What 33 Successful Entrepreneurs Learned From Failure
What 33 Successful Entrepreneurs Learned From FailureWhat 33 Successful Entrepreneurs Learned From Failure
What 33 Successful Entrepreneurs Learned From FailureReferralCandy
 

Viewers also liked (20)

Modal Analysis
Modal AnalysisModal Analysis
Modal Analysis
 
Computational Analysis Of A Thin Plate
Computational Analysis Of A Thin PlateComputational Analysis Of A Thin Plate
Computational Analysis Of A Thin Plate
 
1893 1
1893 11893 1
1893 1
 
93321970 ansys-modal-analysis
93321970 ansys-modal-analysis93321970 ansys-modal-analysis
93321970 ansys-modal-analysis
 
How to Be Awesome on Slideshare
How to Be Awesome on SlideshareHow to Be Awesome on Slideshare
How to Be Awesome on Slideshare
 
The Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color ThemeThe Essentials of PowerPoint Color Theme
The Essentials of PowerPoint Color Theme
 
The Business of Social Media
The Business of Social Media The Business of Social Media
The Business of Social Media
 
The hottest analysis tools for startups
The hottest analysis tools for startupsThe hottest analysis tools for startups
The hottest analysis tools for startups
 
10 Steps of Project Management in Digital Agencies
10 Steps of Project Management in Digital Agencies 10 Steps of Project Management in Digital Agencies
10 Steps of Project Management in Digital Agencies
 
Lost in Cultural Translation
Lost in Cultural TranslationLost in Cultural Translation
Lost in Cultural Translation
 
Flyer
FlyerFlyer
Flyer
 
All About Beer
All About Beer All About Beer
All About Beer
 
The Minimum Loveable Product
The Minimum Loveable ProductThe Minimum Loveable Product
The Minimum Loveable Product
 
Digital, Social & Mobile in 2015
Digital, Social & Mobile in 2015Digital, Social & Mobile in 2015
Digital, Social & Mobile in 2015
 
How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)
How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)
How I got 2.5 Million views on Slideshare (by @nickdemey - Board of Innovation)
 
The Seven Deadly Social Media Sins
The Seven Deadly Social Media SinsThe Seven Deadly Social Media Sins
The Seven Deadly Social Media Sins
 
Five Killer Ways to Design The Same Slide
Five Killer Ways to Design The Same SlideFive Killer Ways to Design The Same Slide
Five Killer Ways to Design The Same Slide
 
How People Really Hold and Touch (their Phones)
How People Really Hold and Touch (their Phones)How People Really Hold and Touch (their Phones)
How People Really Hold and Touch (their Phones)
 
Upworthy: 10 Ways To Win The Internets
Upworthy: 10 Ways To Win The InternetsUpworthy: 10 Ways To Win The Internets
Upworthy: 10 Ways To Win The Internets
 
What 33 Successful Entrepreneurs Learned From Failure
What 33 Successful Entrepreneurs Learned From FailureWhat 33 Successful Entrepreneurs Learned From Failure
What 33 Successful Entrepreneurs Learned From Failure
 

Similar to Modal mass

FREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBS
FREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBSFREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBS
FREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBSIJCI JOURNAL
 
Elastic Metamaterials Analysis: Simple and Double Resonators
Elastic Metamaterials Analysis: Simple and Double ResonatorsElastic Metamaterials Analysis: Simple and Double Resonators
Elastic Metamaterials Analysis: Simple and Double Resonatorsresearchinventy
 
Desmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID Control
Desmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID ControlDesmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID Control
Desmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID ControlDesmas Patriawan
 
Simulation of Double Pendulum
Simulation of Double PendulumSimulation of Double Pendulum
Simulation of Double PendulumQUESTJOURNAL
 
Vandrongelen2018 2 kalmanfiler
Vandrongelen2018 2 kalmanfilerVandrongelen2018 2 kalmanfiler
Vandrongelen2018 2 kalmanfilerRamesh Bk
 
APPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINES
APPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINESAPPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINES
APPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINEScseij
 
Application of particle swarm optimization to microwave tapered microstrip lines
Application of particle swarm optimization to microwave tapered microstrip linesApplication of particle swarm optimization to microwave tapered microstrip lines
Application of particle swarm optimization to microwave tapered microstrip linescseij
 
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...ijceronline
 
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...ijceronline
 
Lossless image compression using new biorthogonal wavelets
Lossless image compression using new biorthogonal waveletsLossless image compression using new biorthogonal wavelets
Lossless image compression using new biorthogonal waveletssipij
 
Transfer Functions and Linear Active Networks Using Operational Amplifiers
Transfer Functions and Linear Active Networks Using Operational AmplifiersTransfer Functions and Linear Active Networks Using Operational Amplifiers
Transfer Functions and Linear Active Networks Using Operational AmplifiersSachin Mehta
 
Application of Numerical and Experimental Simulations for the Vibrating Syste...
Application of Numerical and Experimental Simulations for the Vibrating Syste...Application of Numerical and Experimental Simulations for the Vibrating Syste...
Application of Numerical and Experimental Simulations for the Vibrating Syste...IJERD Editor
 
IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...
IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...
IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...IRJET Journal
 
free vibration with damping in Single degree of freedom
free vibration with damping in Single degree of freedomfree vibration with damping in Single degree of freedom
free vibration with damping in Single degree of freedommaniagoyal1987
 
Oscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controllerOscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controllereSAT Publishing House
 
Oscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controllerOscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controllereSAT Journals
 
Sr lectures part 4
Sr lectures part 4Sr lectures part 4
Sr lectures part 4rpr1234
 
Vibrations of a mechanical system with inertial and forced disturbance
Vibrations of a mechanical system with inertial and forced disturbanceVibrations of a mechanical system with inertial and forced disturbance
Vibrations of a mechanical system with inertial and forced disturbanceiosrjce
 

Similar to Modal mass (20)

FREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBS
FREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBSFREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBS
FREQUENCY RESPONSE ANALYSIS OF 3-DOF HUMAN LOWER LIMBS
 
Elastic Metamaterials Analysis: Simple and Double Resonators
Elastic Metamaterials Analysis: Simple and Double ResonatorsElastic Metamaterials Analysis: Simple and Double Resonators
Elastic Metamaterials Analysis: Simple and Double Resonators
 
lab6
lab6lab6
lab6
 
Desmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID Control
Desmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID ControlDesmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID Control
Desmas(2014)-Preliminary Study on Magnetic Levitation Modeling Using PID Control
 
Simulation of Double Pendulum
Simulation of Double PendulumSimulation of Double Pendulum
Simulation of Double Pendulum
 
Vandrongelen2018 2 kalmanfiler
Vandrongelen2018 2 kalmanfilerVandrongelen2018 2 kalmanfiler
Vandrongelen2018 2 kalmanfiler
 
APPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINES
APPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINESAPPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINES
APPLICATION OF PARTICLE SWARM OPTIMIZATION TO MICROWAVE TAPERED MICROSTRIP LINES
 
Application of particle swarm optimization to microwave tapered microstrip lines
Application of particle swarm optimization to microwave tapered microstrip linesApplication of particle swarm optimization to microwave tapered microstrip lines
Application of particle swarm optimization to microwave tapered microstrip lines
 
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
 
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
Examining Non-Linear Transverse Vibrations of Clamped Beams Carrying N Concen...
 
Lossless image compression using new biorthogonal wavelets
Lossless image compression using new biorthogonal waveletsLossless image compression using new biorthogonal wavelets
Lossless image compression using new biorthogonal wavelets
 
Transfer Functions and Linear Active Networks Using Operational Amplifiers
Transfer Functions and Linear Active Networks Using Operational AmplifiersTransfer Functions and Linear Active Networks Using Operational Amplifiers
Transfer Functions and Linear Active Networks Using Operational Amplifiers
 
Application of Numerical and Experimental Simulations for the Vibrating Syste...
Application of Numerical and Experimental Simulations for the Vibrating Syste...Application of Numerical and Experimental Simulations for the Vibrating Syste...
Application of Numerical and Experimental Simulations for the Vibrating Syste...
 
IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...
IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...
IRJET-A Review Paper on using Mineral Admixture Coated Pet Fibres to Make Con...
 
free vibration with damping in Single degree of freedom
free vibration with damping in Single degree of freedomfree vibration with damping in Single degree of freedom
free vibration with damping in Single degree of freedom
 
Oscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controllerOscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controller
 
Oscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controllerOscillatory motion control of hinged body using controller
Oscillatory motion control of hinged body using controller
 
Sr lectures part 4
Sr lectures part 4Sr lectures part 4
Sr lectures part 4
 
Vibrations of a mechanical system with inertial and forced disturbance
Vibrations of a mechanical system with inertial and forced disturbanceVibrations of a mechanical system with inertial and forced disturbance
Vibrations of a mechanical system with inertial and forced disturbance
 
A012660105
A012660105A012660105
A012660105
 

Recently uploaded

Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Dr.Costas Sachpazis
 
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingPorous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingrakeshbaidya232001
 
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Dr.Costas Sachpazis
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSSIVASHANKAR N
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxpranjaldaimarysona
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Christo Ananth
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escortsranjana rawat
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...Soham Mondal
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...ranjana rawat
 

Recently uploaded (20)

Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
 
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writingPorous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
 
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
 
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
 
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLSMANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
MANUFACTURING PROCESS-II UNIT-5 NC MACHINE TOOLS
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(PRIYA) Rajgurunagar Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptxProcessing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur EscortsHigh Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
 
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
 
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINEDJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
 
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
 

Modal mass

  • 1. 1 EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision H By Tom Irvine Email: tom@vibrationdata.com March 28, 2013 _______________________________________________________________________ Introduction The effective modal mass provides a method for judging the “significance” of a vibration mode. Modes with relatively high effective masses can be readily excited by base excitation. On the other hand, modes with low effective masses cannot be readily excited in this manner. Consider a modal transient or frequency response function analysis via the finite element method. Also consider that the system is a multi-degree-of-freedom system. For brevity, only a limited number of modes should be included in the analysis. How many modes should be included in the analysis? Perhaps the number should be enough so that the total effective modal mass of the model is at least 90% of the actual mass. Definitions The equation definitions in this section are taken from Reference 1. Consider a discrete dynamic system governed by the following equation FxKxM  (1) where M is the mass matrix K is the stiffness matrix x is the acceleration vector x is the displacement vector F is the forcing function or base excitation function
  • 2. 2 A solution to the homogeneous form of equation (1) can be found in terms of eigenvalues and eigenvectors. The eigenvectors represent vibration modes. Let  be the eigenvector matrix. The system’s generalized mass matrix mˆ is given by  MTmˆ (2) Let r be the influence vector which represents the displacements of the masses resulting from static application of a unit ground displacement. The influence vector induces a rigid body motion in all modes. Define a coefficient vector L as rMTL  (3) The modal participation factor matrix i for mode i is iimˆ iL i  (4) The effective modal mass i,effm for mode i is ii 2 i i,eff mˆ L m  (5) Note that iimˆ = 1 for each index if the eigenvectors have been normalized with respect to the mass matrix. Furthermore, the off-diagonal modal mass ( ji,mˆ ji  ) terms are zero regardless of the normalization and even if the physical mass matrix M has distributed mass. This is due to the orthogonality of the eigenvectors. The off-diagonal modal mass terms do not appear in equation (5), however. An example for a system with distributed mass is shown in Appendix F.
  • 3. 3 Example Consider the two-degree-of-freedom system shown in Figure 1, with the parameters shown in Table 1. Figure 1. The homogeneous equation of motion is                                 0 0 2x 1x 3k2k3k 3k3k1k 2x 1x 2m0 01m   (6) The mass matrix is kg 10 02 M        (7) Table 1. Parameters Variable Value 1m 2.0 kg 2m 1.0 kg 1k 1000 N/m 2k 2000 N/m 3k 3000 N/m m1 k1 m2 k2 k3 x1 x2 y
  • 4. 4 The stiffness matrix is m/N 50003000 30004000 K          (8) The eigenvalues and eigenvectors can be found using the method in Reference 2. The eigenvalues are the roots of the following equation. 0M2Kdet       (9) The eigenvalues are  2sec/rad9.9012 1  (10) sec/rad03.301  (11) Hz78.41f  (12)  2sec/rad60982 2  (13) sec/rad09.782  (14) Hz4.122f  (15) The eigenvector matrix is         8881.04597.0 3251.06280.0 (16)
  • 5. 5 The eigenvectors were previously normalized so that the generalized mass is the identity matrix.  MTmˆ (17)                      8881.04597.0 3251.06280.0 10 02 8881.03251.0 4597.06280.0 mˆ (18)                8881.04597.0 6502.02560.1 8881.03251.0 4597.06280.0 mˆ (19)        10 01 mˆ (20) Again, r is the influence vector which represents the displacements of the masses resulting from static application of a unit ground displacement. For this example, each mass simply has the same static displacement as the ground displacement.        1 1 r (21) The coefficient vector L is rMTL  (22)                     1 1 10 02 8881.03251.0 4597.06280.0 L (23)
  • 6. 6               1 2 8881.03251.0 4597.06280.0 L (24) kg 2379.0 7157.1 L         (25) The modal participation factor i for mode i is iimˆ iL i  (26) The modal participation vector is thus         2379.0 7157.1 (27) The coefficient vector L and the modal participation vector  are identical in this example because the generalized mass matrix is the identity matrix. The effective modal mass i,effm for mode i is iimˆ 2 iL i,effm  (28) For mode 1,   kg1 2kg7157.1 1,effm  (29) kg944.21,effm  (30)
  • 7. 7 For mode 2,   kg1 2kg2379.0 2,effm   (31) kg056.02,effm  (32) Note that kg056.0kg944.22,effm1,effm  (33) kg32,effm1,effm  (34) Thus, the sum of the effective masses equals the total system mass. Also, note that the first mode has a much higher effective mass than the second mode. Thus, the first mode can be readily excited by base excitation. On the other hand, the second mode is negligible in this sense. From another viewpoint, the center of gravity of the first mode experiences a significant translation when the first mode is excited. On the other hand, the center of gravity of the second mode remains nearly stationary when the second mode is excited. Each degree-of-freedom in the previous example was a translation in the X-axis. This characteristic simplified the effective modal mass calculation. In general, a system will have at least one translation degree-of-freedom in each of three orthogonal axes. Likewise, it will have at least one rotational degree-of-freedom about each of three orthogonal axes. The effective modal mass calculation for a general system is shown by the example in Appendix A. The example is from a real-world problem.
  • 8. 8 Aside An alternate definition of the participation factor is given in Appendix B. References 1. M. Papadrakakis, N. Lagaros, V. Plevris; Optimum Design of Structures under Seismic Loading, European Congress on Computational Methods in Applied Sciences and Engineering, Barcelona, 2000. 2. T. Irvine, The Generalized Coordinate Method For Discrete Systems, Vibrationdata, 2000. 3. W. Thomson, Theory of Vibration with Applications 2nd Edition, Prentice Hall, New Jersey, 1981. 4. T. Irvine, Bending Frequencies of Beams, Rods, and Pipes, Rev M, Vibrationdata, 2010. 5. T. Irvine, Rod Response to Longitudinal Base Excitation, Steady-State and Transient, Rev B, Vibrationdata, 2009. 6. T. Irvine, Longitudinal Vibration of a Rod via the Finite Element Method, Revision B, Vibrationdata, 2008.
  • 9. 9 APPENDIX A Equation of Motion, Isolated Avionics Component Figure A-1. Isolated Avionics Component Model The mass and inertia are represented at a point with the circle symbol. Each isolator is modeled by three orthogonal DOF springs. The springs are mounted at each corner. The springs are shown with an offset from the corners for clarity. The triangles indicate fixed constraints. “0” indicates the origin. ky4kx4 kz4 ky2 kx2 ky3kx3 ky1 kx1 kz1 kz3 kz2 m, J 0 x z y
  • 10. 10 Figure A-2. Isolated Avionics Component Model with Dimensions All dimensions are positive as long as the C.G. is “inside the box.” At least one dimension will be negative otherwise. x z y 0b c1 c2 a1 a2 C. G.
  • 11. 11 The mass and stiffness matrices are shown in upper triangular form due to symmetry. (A-1) K =                                                             2 2a2 1ayk22bxk4 b2c1cxk22 2a2 1azk22 2cxk4 2c1c2a1aykb2a1azk22 2c2 1cyk22bzk4 02a1azk2bzk4zk4 2a1ayk202c1cyk20yk4 bxk42c1cxk2000xk4 (A-2)                      zJ 0yJ 00xJ 000m 0000m 00000m M
  • 12. 12 The equation of motion is                                                                     0 0 0 0 0 0 z y x K z y x M       (A-3) The variables , β and  represent rotations about the X, Y, and Z axes, respectively. Example A mass is mounted to a surface with four isolators. The system has the following properties. M = 4.28 lbm Jx = 44.9 lbm in^2 Jy = 39.9 lbm in^2 Jz = 18.8 lbm in^2 kx = 80 lbf/in ky = 80 lbf/in kz = 80 lbf/in a1 = 6.18 in a2 = -2.68 in b = 3.85 in c1 = 3. in c2 = 3. in
  • 13. 13 Let r be the influence matrix which represents the displacements of the masses resulting from static application of unit ground displacements and rotations. The influence matrix for this example is the identity matrix provided that the C.G is the reference point.                      100000 010000 001000 000100 000010 000001 r (A-4) The coefficient matrix L is rMTL  (A-5) The modal participation factor matrix i for mode i at dof j is ii ji ji mˆ L  (A-6) Each iimˆ coefficient is 1 if the eigenvectors have been normalized with respect to the mass matrix. The effective modal mass i,effm vector for mode i and dof j is   iimˆ 2 jiL ji,effm  (A-7) The natural frequency results for the sample problem are calculated using the program: six_dof_iso.m. The results are given in the next pages.
  • 14. 14 six_dof_iso.m ver 1.2 March 31, 2005 by Tom Irvine Email: tomirvine@aol.com This program finds the eigenvalues and eigenvectors for a six-degree-of-freedom system. Refer to six_dof_isolated.pdf for a diagram. The equation of motion is: M (d^2x/dt^2) + K x = 0 Enter m (lbm) 4.28 Enter Jx (lbm in^2) 44.9 Enter Jy (lbm in^2) 39.9 Enter Jz (lbm in^2) 18.8 Note that the stiffness values are for individual springs Enter kx (lbf/in) 80 Enter ky (lbf/in) 80 Enter kz (lbf/in) 80 Enter a1 (in) 6.18 Enter a2 (in) -2.68 Enter b (in) 3.85 Enter c1 (in) 3
  • 15. 15 Enter c2 (in) 3 The mass matrix is m = 0.0111 0 0 0 0 0 0 0.0111 0 0 0 0 0 0 0.0111 0 0 0 0 0 0 0.1163 0 0 0 0 0 0 0.1034 0 0 0 0 0 0 0.0487 The stiffness matrix is k = 1.0e+004 * 0.0320 0 0 0 0 0.1232 0 0.0320 0 0 0 -0.1418 0 0 0.0320 -0.1232 0.1418 0 0 0 -0.1232 0.7623 -0.5458 0 0 0 0.1418 -0.5458 1.0140 0 0.1232 -0.1418 0 0 0 1.2003 Eigenvalues lambda = 1.0e+005 * 0.0213 0.0570 0.2886 0.2980 1.5699 2.7318
  • 16. 16 Natural Frequencies = 1. 7.338 Hz 2. 12.02 Hz 3. 27.04 Hz 4. 27.47 Hz 5. 63.06 Hz 6. 83.19 Hz Modes Shapes (rows represent modes) x y z alpha beta theta 1. 5.91 -6.81 0 0 0 -1.42 2. 0 0 8.69 0.954 -0.744 0 3. 7.17 6.23 0 0 0 0 4. 0 0 1.04 -2.26 -1.95 0 5. 0 0 -3.69 1.61 -2.3 0 6. 1.96 -2.25 0 0 0 4.3 Participation Factors (rows represent modes) x y z alpha beta theta 1. 0.0656 -0.0755 0 0 0 -0.0693 2. 0 0 0.0963 0.111 -0.0769 0 3. 0.0795 0.0691 0 0 0 0 4. 0 0 0.0115 -0.263 -0.202 0 5. 0 0 -0.0409 0.187 -0.238 0 6. 0.0217 -0.025 0 0 0 0.21 Effective Modal Mass (rows represent modes) x y z alpha beta theta 1. 0.0043 0.00569 0 0 0 0.0048 2. 0 0 0.00928 0.0123 0.00592 0 3. 0.00632 0.00477 0 0 0 0 4. 0 0 0.000133 0.069 0.0408 0 5. 0 0 0.00168 0.035 0.0566 0 6. 0.000471 0.000623 0 0 0 0.0439 Total Modal Mass 0.0111 0.0111 0.0111 0.116 0.103 0.0487
  • 17. 17 APPENDIX B Modal Participation Factor for Applied Force The following definition is taken from Reference 3. Note that the mode shape functions are unscaled. Hence, the participation factor is unscaled. Consider a beam of length L loaded by a distributed force p(x,t). Consider that the loading per unit length is separable in the form )t(f)x(p L oP )t,x(p  (B-1) The modal participation factor i for mode i is defined as   L 0 dx)x(i)x(p L 1 i (B-2) where )x(i is the normal mode shape for mode i
  • 18. 18 APPENDIX C Modal Participation Factor for a Beam Let )x(nY = mass-normalized eigenvectors m(x) = mass per length The participation factor is  L 0 dx)x(nY)x(mn (C-1) The effective modal mass is           L 0 dx2)x(nY)x(m 2 L 0 dx)x(nY)x(m n,effm (C-2) The eigenvectors should be normalized such that   1 L 0 dx2)x(nY)x(m  (C-3) Thus,   2 L 0 dx)x(nY)x(m2 nn,effm         (C-4)
  • 19. 19 APPENDIX D Effective Modal Mass Values for Bernoulli-Euler Beams The results are calculated using formulas from Reference 4. The variables are E = is the modulus of elasticity I = is the area moment of inertia L = is the length  = is (mass/length) Table D-1. Bending Vibration, Beam Simply-Supported at Both Ends Mode Natural Frequency n Participation Factor Effective Modal Mass 1   EI L2 2 L2 2   L 2 8   2   EI L 4 2 2 0 0 3   EI L 9 2 2 L2 3 2   L 29 8   4   EI L 16 2 2 0 0 5   EI L 25 2 2 L2 5 2   L 225 8   6   EI L 36 2 2 0 0 7   EI L 49 2 2 L2 7 2   L 249 8   95% of the total mass is accounted for using the first seven modes.
  • 20. 20 Table D-2. Bending Vibration, Fixed-Free Beam Mode Natural Frequency n Participation Factor Effective Modal Mass 1       EI L 87510.1 2 7830.0 L 6131.0 L 2       EI L 69409.4 2 4339.0 L 0.1883 L 3        EI L2 5 2 2544.0 L 0.06474 L 4        EI L2 7 2 1818.0 L 0.03306 L 90% of the total mass is accounted for using the first four modes.
  • 21. 21 APPENDIX E Rod, Longitudinal Vibration, Classical Solution The results are taken from Reference 5. Table E-1. Longitudinal Vibration of a Rod, Fixed-Free Mode Natural Frequency n Participation Factor Effective Modal Mass 1 0.5  c / L L2 2   L 8 2   2 1.5  c / L L2 3 2   L 9 8 2   3 2.5  c / L L2 5 2   L 25 8 2   The longitudinal wave speed c is   E c (E-1) 93% of the total mass is accounted for by using the first three modes.
  • 22. 22 APPENDIX F This example shows a system with distributed or consistent mass matrix. Rod, Longitudinal Vibration, Finite Element Method Consider an aluminum rod with 1 inch diameter and 48 inch length. The rod has fixed-free boundary conditions. A finite element model of the rod is shown in Figure F-1. It consists of four elements and five nodes. Each element has an equal length. Figure F-1. The boundary conditions are U(0) = 0 (Fixed end) (F-1) 0 Lxdx dU   (Free end) (F-2) The natural frequencies and modes are determined using the finite element method in Reference 6. N1 N2 N3 E1 E2 N4 E3 N5 E4
  • 23. 23 The resulting eigenvalue problem for the constrained system has the following mass and stiffness matrices as calculated via Matlab script: rod_FEA.m. Mass = 0.0016 0.0004 0 0 0.0004 0.0016 0.0004 0 0 0.0004 0.0016 0.0004 0 0 0.0004 0.0008 Stiffness = 1.0e+006 * 1.3090 -0.6545 0 0 -0.6545 1.3090 -0.6545 0 0 -0.6545 1.3090 -0.6545 0 0 -0.6545 0.6545 The natural frequencies are n fn(Hz) 1 1029.9 2 3248.8 3 5901.6 4 8534.3 The mass-normalized eigenvectors in column format are 5.5471 14.8349 18.0062 -9.1435 10.2496 11.3542 -13.7813 16.8950 13.3918 -6.1448 -7.4584 -22.0744 14.4952 -16.0572 19.4897 23.8931
  • 24. 24 Let r be the influence vector which represents the displacements of the masses resulting from static application of a unit ground displacement. The influence vector for the sample problem is r = 1 1 1 1 The coefficient vector L is rMTL  (F-3) where T = transposed eigenvector matrix M = mass matrix The coefficient vector for the sample problem is L = 0.0867 0.0233 0.0086 -0.0021 The modal participation factor matrix i for mode i is ii i i mˆ L  (F-4) Note that iimˆ = 1 for each index since the eigenvectors have been previously normalized with respect to the mass matrix.
  • 25. 25 Thus, for the sample problem, ii L (F-5) The effective modal mass i,effm for mode i is ii 2 i i,eff mˆ L m  (F-6) Again, the eigenvectors are mass normalized. Thus 2 ii,eff Lm  (F-7) The effective modal mass for the sample problem is effm = 0.0075 0.0005 0.0001 0.0000 The model’s total modal mass is 0.0081 lbf sec^2/in. This is equivalent to 3.14 lbm. The true mass or the rod is 3.77 lbm. Thus, the four-element model accounts for 83% of the true mass. This percentage can be increased by using a larger number of elements with corresponding shorter lengths.
  • 26. 26 APPENDIX G Two-degree-of-freedom System, Static Coupling Figure G-1. Figure G-2. The free-body diagram is given in Figure G-2. k 1 k 2 L1 y L2 x  k 1 ( y - x - L1 ) ) k 2 ( y - x + L2 ) )
  • 27. 27 The system has a CG offset if 21 LL  . The system is statically coupled if 2211 LkLk  . The rotation is positive in the clockwise direction. The variables are y is the base displacement x is the translation of the CG  is the rotation about the CG m is the mass J is the polar mass moment of inertia k i is the stiffness for spring i z i is the relative displacement for spring i
  • 28. 28 Sign Convention: Translation: upward in vertical axis is positive. Rotation: clockwise is positive. Sum the forces in the vertical direction   xmF  (G-1) )Lxy(k)Lxy(kxm 2211  (G-2) 0)Lxy(k)Lxy(kxm 2211  (G-3) 0LkxkykLkxkykxm 22221111  (G-4)   y)kk()LkLk(xkkxm 21221121  (G-5) Sum the moments about the center of mass.   JM (G-6) )Lxy(Lk)Lxy(LkJ 222111  (G-7) 0)Lxy(Lk)Lxy(LkJ 222111  (G-8) 0LkxLkyLkLkxLkykJ 2 222222 2 11111  (G-9)      yLkLkLkLkxLkLkJ 2211 2 22 2 112211  (G-10) The equations of motion are y LkLk kkx LkLkLkLk LkLkkkx J0 0m 2211 21 2 22 2 112211 221121                                      (G-11)
  • 29. 29 The pseudo-static problem is y LkLk kkx LkLkLkLk LkLkkk 2211 21 2 22 2 112211 221121                        (G-12) Solve for the influence vector r by applying a unit displacement.                       2211 21 2 1 2 22 2 112211 221121 LkLk kk r r LkLkLkLk LkLkkk (G-13)             0 1 r r 2 1 (G-14) Define a relative displacement z. z = x – y (G-15) x = z + y (G-16)  y LkLk kk 0 y LkLkLkLk LkLkkkz LkLkLkLk LkLkkk 0 ymz J0 0m 2211 21 2 22 2 112211 221121 2 22 2 112211 221121                                                             (G-17)                                  0 ymz LkLkLkLk LkLkkkz J0 0m 2 22 2 112211 221121   
  • 30. 30 (G-18) The equation is more formally y r r J0 0mz LkLkLkLk LkLkkkz J0 0m 2 1 2 22 2 112211 221121                                           (G-19) Solve for the eigenvalues and mass-normalized eigenvectors matrix  using the homogeneous problem form of equation (G-9). Define modal coordinates                  2 1z (G-20)     y r r J0 0m LkLkLkLk LkLkkk J0 0m 2 1 2 1 2 22 2 112211 221121 2 1                                              (G-21) Then premultiply by the transpose of the eigenvector matrix T .           y r r J0 0m LkLkLkLk LkLkkk J0 0m 2 1T 2 1 2 22 2 112211 221121T 2 1T                                                (G-22)
  • 31. 31   y r r J0 0m 0 0 10 01 2 1T 2 1 2 2 2 1 2 1                                                (G-23) The participation factor vector is              2 1T r r J0 0m (G-24)                    0 m 0 1 J0 0m TT (G-25) Example Consider the system in Figure G-1. Assign the following values. The values are based on a slender rod, aluminum, diameter =1 inch, total length=24 inch. Table G-1. Parameters Variable Value m 18.9 lbm J 907 lbm in^2 1k 20,000 lbf/in 2k 20,000 lbf/in 1L 8 in 2L 16 in The following parameters were calculated for the sample system via a Matlab script. The mass matrix is
  • 32. 32 m = 0.0490 0 0 2.3497 The stiffness matrix is k = 40000 160000 160000 6400000 Natural Frequencies = 133.8 Hz 267.9 Hz Modes Shapes (column format) = -4.4 1.029 0.1486 0.6352 Participation Factors = 0.2156 0.0504 Effective Modal Mass 0.0465 0.0025 The total modal mass is 0.0490 lbf sec^2/in, equivalent to18.9 lbm.
  • 33. 33 APPENDIX H Two-degree-of-freedom System, Static & Dynamic Coupling Repeat the example in Appendix G, but use the left end as the coordinate reference point. Figure H-1. Figure H-2. The free-body diagram is given in Figure H-2. Again, the displacement and rotation are referenced to the left end. k 1 k 2 L1 y L2 L x1  k 1 ( y - x1 ) k 2 ( y – x1 + L) x
  • 34. 34 Sign Convention: Translation: upward in vertical axis is positive. Rotation: clockwise is positive. Sum the forces in the vertical direction   xmF  (H-1) )Lxy(k)xy(kxm 1211  (H-2) 0)Lxy(k)xy(kxm 1211  (H-3) 0Lkxkykxkykxm 2122111  (H-4)   y)kk(Lkxkkxm 212121  (H- 5)  11 Lxx (H-6)     y)kk(LkxkkLxm 21212111   (H-7)   y)kk(LkxkkLmxm 21212111   (H-8) Sum the moments about the left end.    11 JM (H-9)  11121 x-xmL)L+x-y(LkJ   (H-10)   0)L+x-y(Lkx-xmLJ 12111   (H-11)   0LkLxk-Lykx-xmLJ 2 2122111   (H-12)   LykLkLxk-x-xmLJ 2 2 212111   (H-13)
  • 35. 35  11 Lxx (H-14)   LykLkLxk-x-LxmLJ 2 2 21211111   (H-15) LykLkLxk-xmLJ 2 2 212111   (H-16) The equations of motion are y Lk kkx LkLk Lkkkx JmL mLm 2 211 2 22 2211 11 1                                        (H-17) Note that 2 11 mLJJ  (H-18) y Lk kkx LkLk Lkkkx mLJmL mLm 2 211 2 22 2211 2 11 1                                          (H- 19) The pseudo-static problem is y Lk kkx LkLk Lkkk 2 211 2 22 221                        (H-20) Solve for the influence vector r by applying a unit displacement.                       Lk kk r r LkLk Lkkk 2 21 2 1 2 22 221 (H-21)
  • 36. 36             0 1 r r 2 1 (H-22) The influence coefficient vector is the same as that in Appendix G. The natural frequencies are obtained via a Matlab script. The results are: Natural Frequencies No. f(Hz) 1. 133.79 2. 267.93 Modes Shapes (column format) ModeShapes = 5.5889 4.0527 0.1486 0.6352 Participation Factors = 0.2155 -0.05039 Effective Modal Mass = 0.04642 0.002539 The total modal mass is 0.0490 lbf sec^2/in, equivalent to18.9 lbm.